Survey of Personalized Location Privacy Protection Technologies
Year: 2025
Type: article
Abstract: With the proliferation of mobile networks and smart devices,users' geographical location information is being extensively collected and utilized,posing severe challenges to data privacy.In this context,users not only expect to receive effective security safeguards,but also demand higher quality service experiences.However,protecting users' location privacy often requires limiting or blurring the precision of location information,which conflicts with the high-precision location data needed to provide personalized services.Therefore,how to balance location privacy protection and meeting users' personalized needs has become a critical scientific issue.This issue involves multiple domains such as data security,user experience,and commercial interests,and plays a crucial role in enhancing privacy protection,strengthening user trust,and improving the quality of user service experiences.This paper reviews the recent research progress in personalized location privacy protection.Firstly,it analyzes the causes of privacy breaches and common attack methods.Subsequently,it summarizes the definition and classification of location privacy protection technologies.Then,based on users' personalized needs,it discusses how to provide more suitable location privacy protection measures while ensuring users' privacy preferences.Finally,itsummarizes and looks forward to the future research trends in personalized location privacy protection technologies.
Author: CAO Tengfei, YIN Runtian, ZHU Liang, XU Changqiao
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7084081534
FWCI:
Cites:
Cited by:
Related to: